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    Results for "无代码和无 ml - 仅 ai 介绍"

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      머신 러닝 프로젝트 구조화

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Technical Management, Machine Learning, Applied Machine Learning, Deep Learning, Debugging, Analysis, Performance Testing

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Statistical Methods, Predictive Modeling, Machine Learning, Data Quality, Visualization (Computer Graphics)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 日本語版

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP 日本語版

      Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, Data Pipelines, Applied Machine Learning, Big Data, Jupyter, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, SQL, Deep Learning, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera Instructor Network

      Operationalizing ML Models: MLOps for Scalable AI

      Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      E

      Edge Impulse

      Introduction to Embedded Machine Learning

      Skills you'll gain: Applied Machine Learning, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      738 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      使用 Vertex AI 和 Flutter 构建生成式 AI 智能体

      Skills you'll gain: Flutter (Software), Generative AI Agents, Generative AI, Google Cloud Platform, Application Development, Artificial Intelligence

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Manage Features

      Skills you'll gain: MLOps (Machine Learning Operations), Data Modeling, Google Cloud Platform, Feature Engineering, DevOps, Data Processing, Data Management, Applied Machine Learning, Data Storage Technologies, Data Security

      4.1
      Rating, 4.1 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure ML: Deploying, Managing, and Experimenting with Models

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Performance Tuning, Automation

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 한국어

      Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Intelligence, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      ML Pipelines on Google Cloud - Français

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Tensorflow, Data Pipelines, Metadata Management, Machine Learning Methods, PyTorch (Machine Learning Library), Containerization, Application Programming Interface (API), Scalability

      Advanced · Course · 1 - 3 Months

    1…456…250

    In summary, here are 10 of our most popular 无代码和无 ml - 仅 ai 介绍 courses

    • 머신 러닝 프로젝트 구조화: DeepLearning.AI
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Responsible AI for Developers: Fairness & Bias - 日本語版: Google Cloud
    • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
    • Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network
    • Introduction to Embedded Machine Learning: Edge Impulse
    • 使用 Vertex AI 和 Flutter 构建生成式 AI 智能体: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
    • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs

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